Power Platform & Dynamics CE

When designing Custom APIs in Dataverse, deciding between an internal or external strategy depends on your solution’s architecture, performance needs, and integration boundaries. Internal Custom APIs run entirely within Dataverse and are ideal when the business logic relies on CRM data, must follow Dataverse security rules, or benefits from unified auditing, plug-in execution, and transactional consistency. These are best suited for validations, entity operations, or orchestrations that must remain inside the platform. In contrast, external Custom APIs involve hosting logic outside Dataverse—such as Azure Functions, Web APIs, or cloud-based microservices—and are appropriate when the logic requires advanced computation, integrates heavily with external systems, or must scale beyond Dataverse’s plug-in limits. External APIs offer greater flexibility, but require secure authentication, lifecycle management, and monitoring. Ultimately, choosing between internal and external strategies depe...

Choosing between a bound and unbound Custom API in Dataverse depends on the scope and context of the business logic you need to implement. A bound Custom API is linked directly to a specific table or record, making it ideal when your logic operates on a single entity—such as approving an Opportunity, recalculating a Quote Line, or validating a Case—while also benefiting from inheriting the table’s security model and enabling easy form or ribbon integration. In contrast, an unbound Custom API runs at the organizational level and is not tied to any single table, making it the better choice for cross-entity operations, batch processing, orchestration logic, or reusable services such as compliance checks or data synchronization. In general, use a bound API when your logic is entity-specific and user-triggered, and choose an unbound API when your logic is global, shared, or not dependent on record context.  In Microsoft Dataverse, Custom APIs allow you to define your own operations that...

Custom APIs in Microsoft Dataverse allow developers and architects to create their own reusable, secure, and well-defined service endpoints that extend the standard Dataverse Web API. Instead of relying solely on out-of-the-box messages (like Create, Update, or Retrieve ), Custom APIs let you define your own business operations — complete with input and output parameters — that encapsulate complex logic and can be called from Power Automate, Power Apps, or external systems. These APIs are registered once and behave like native Dataverse operations, making them ideal for implementing domain-specific logic, integrating with external services, or simplifying client-side development. From a technical standpoint, a Custom API can be implemented through a plugin class, where the backend logic is written in C#. Developers can control security through privilege definitions and ensure consistency by centralizing key business rules. Custom APIs are particularly valuable in enterprise environmen...

In the fast-paced world of app development, testing often gets pushed to the sidelines. But in low-code platforms like Power Apps—where apps are rapidly built and deployed— ensuring quality becomes even more critical . Enter Power Apps Test Studio : Microsoft’s built-in tool for creating, automating, and running tests on Canvas apps. Whether you’re a developer, maker, or architect, this guide will show you why Test Studio should be a key part of your app lifecycle and how to use it effectively. Why Test Studio? As apps grow in complexity, manual testing becomes unsustainable. Test Studio helps you: Automate UI testing without external tools. Catch bugs early by validating changes before deployment. Integrate testing into DevOps pipelines for continuous delivery. Support data-driven testing to verify multiple scenarios. It’s a low-code approach to quality assurance , built for the Power Platform ecosystem. What Is Power Apps Test Studio? Test Studio is a visual, recorder-based...

Dataverse powers the heart of the Microsoft Power Platform, offering a rich relational data layer and a suite of tools for makers and developers. While low-code configurations can solve many business needs, there comes a point when complex business logic demands more. Enter Custom APIs—your way to encapsulate server-side logic in a secure, reusable, and solution-aware package. Combine this with Field Mapping—which ensures automatic data population between related tables—and you unlock a powerful pattern for building sophisticated enterprise apps. In this post, we’ll do a deep technical dive into: What Custom APIs and Field Mapping are Why they’re better together Real-world scenarios Best practices Pitfalls to avoid What is a Custom API? Custom APIs let you define your own operations in Dataverse, complete with input/output parameters and server-side logic. Unlike workflows or Power Automate flows, they’re built for high performance and enterprise ALM. Features of Custom APIs Entity-bou...

Plugins in Dataverse play a vital role in extending the platform’s server-side capabilities by allowing developers to implement custom business logic that executes automatically during data operations such as create, update, or delete. They provide precise control within the Dataverse transaction pipeline, ensuring real-time validation, enforcement of business rules, and seamless integration with system events. However, as business requirements evolve toward cloud scalability, complex integrations, and AI-driven automation, relying solely on plugins can introduce performance, maintainability, and scalability challenges. Plugins have execution time limits, limited debugging visibility, and restrictions when interacting with external systems. Therefore, exploring modern alternatives like Azure Functions, Power Automate, or Webhooks helps offload heavy processing, simplify integrations, and improve observability—while maintaining a flexible, secure, and cloud-native architecture that co...

Virtual Tables in Dataverse allow developers to connect and display data from external systems—like SQL, SharePoint, or REST APIs—directly within Dataverse without storing it locally. They act as a bridge that makes external data appear as native Dataverse tables, enabling users to view and interact with that data in real time through model-driven apps, Power Apps, and Power Automate. This eliminates the need for data duplication or synchronization while maintaining a consistent Dataverse experience. Virtual Tables use a data provider to translate Dataverse queries into the external system’s language, making them ideal for real-time integrations where up-to-date external information needs to be accessed seamlessly within the Power Platform ecosystem. What Are Virtual Tables? In Dataverse, a Virtual Table (formerly called Virtual Entity) lets you represent external data inside Dataverse as if it were a native table, without storing the data physically. Think of it as a “live view” of e...

Key Columns in Dataverse (Entities Reimagined) play a vital role in ensuring data integrity, uniqueness, and efficient record management within the Microsoft Power Platform. In Dataverse, every table (previously known as an entity) includes a Primary Key that uniquely identifies each record, typically represented by a GUID, and a Primary Name Column, which provides a human-readable name for display in views and lookups. Developers can also define Alternate Keys, which allow external systems to identify and update records using natural business data—such as an email address, employee ID, or product code—rather than system-generated IDs. This feature is especially useful for integrations, upsert operations, and data migrations, as it simplifies record matching and reduces duplication. By leveraging these key columns effectively, Dataverse ensures consistency across related data, enhances performance, and provides developers with a flexible foundation for building scalable and reliable bu...